Searching for Specific Biomarkers for Emotional Disorders

In this challenge, participants will focus on leveraging artificial intelligence to identify specific biomarkers associated with emotional disorders using EEG (Electroencephalography) data. Emotional disorders, including depression, burnout, and others, pose significant challenges for diagnosis and treatment. Your mission is to harness the power of AI to extract meaningful insights from EEG data, paving the way for more accurate and early diagnoses.

Participants will be provided with a dataset comprising EEG recordings from individuals with and without emotional disorders. This dataset offers a unique opportunity to uncover patterns and biomarkers within brainwave data that may be linked to these disorders.

Your task is to develop innovative AI-driven solutions that analyze EEG data to identify distinct patterns or markers associated with emotional disorders, and provide valuable insights to healthcare professionals for more precise diagnosis and treatment planning.

By participating in this challenge, you will contribute to the advancement of EEG-based diagnostic tools in the field of mental health. Your work may lead to improved patient care and open new doors for understanding and addressing emotional disorders.